Towards passive brain-computer interfaces: applying brain-computer interface technology to human-machine systems in general

Towards passive brain-computer interfaces: applying brain-computer interface technology to human-machine systems in general
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DOI:
10.1088/1741-2560/8/2/025005
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发表时间:
2011-04-01
影响因子:
4
通讯作者:
Kothe, Christian
Kothe, Christian
中科院分区:
工程技术2区
文献类型:
--
作者:
Zander, Thorsten O.;Kothe, Christian

文献摘要

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相似文献

认知监测是利用实时脑信号解码(RBSD)来获得关于正在进行的认知用户状态的信息的方法。近几十年来,这种方法为互动人类的认知带来了宝贵的见解。自动RBSD可用于建立脑机接口(BCI),为仅基于大脑活动的技术系统提供新的输入模式。在脑机接口中,用户通常发送自愿和直接的命令来控制连接的计算机系统或通过它进行通信,在本文中,我们提出了这种方法的扩展融合脑机接口技术与认知监测,提供有价值的信息,用户的意图,情景解释和情绪状态的技术系统。我们称这种方法为被动BCI。在下文中,我们概述了利用被动BCI的研究,以及BCI技术产生的其他新型应用。我们特别关注健康用户的应用程序,以及该用户群体的特定要求和需求。由于所提出的方法相结合的认知监测与BCI技术是非常相似的BCI本身的概念,我们提出了一个统一的分类BCI为基础的应用程序,包括被动BCI的新方法。
Cognitive monitoring is an approach utilizing realtime brain signal decoding (RBSD) for gaining information on the ongoing cognitive user state. In recent decades this approach has brought valuable insight into the cognition of an interacting human. Automated RBSD can be used to set up a brain-computer interface (BCI) providing a novel input modality for technical systems solely based on brain activity. In BCIs the user usually sends voluntary and directed commands to control the connected computer system or to communicate through it. In this paper we propose an extension of this approach by fusing BCI technology with cognitive monitoring, providing valuable information about the users' intentions, situational interpretations and emotional states to the technical system. We call this approach passive BCI. In the following we give an overview of studies which utilize passive BCI, as well as other novel types of applications resulting from BCI technology. We especially focus on applications for healthy users, and the specific requirements and demands of this user group. Since the presented approach of combining cognitive monitoring with BCI technology is very similar to the concept of BCIs itself we propose a unifying categorization of BCI-based applications, including the novel approach of passive BCI.